This study applies an optimization-based approach for calibrating building energy models using monitored data. The calibration was carried out on a test building coupling the EnergyPlus energy simulation tool with the GenOpt optimization tool. The objective function was set to minimize the difference between simulated and monitored energy consumption. For evaluating the model accuracy, the Mean Bias Error (MBE) and the Coefficient of Variation of the \RMSE\ (Cv (RMSE)) were calculated and found consistent with \ASHRAE\ guideline 14 limits for a model to be considered calibrated.
Calibration of building energy simulation models based on optimization: A case study / Monetti, Valentina; Davin, Elisabeth; Fabrizio, Enrico; André, Philippe; Filippi, Marco. - In: ENERGY PROCEDIA. - ISSN 1876-6102. - 78:(2015), pp. 2971-2976. [10.1016/j.egypro.2015.11.693]
Calibration of building energy simulation models based on optimization: A case study
MONETTI, VALENTINA;FABRIZIO, ENRICO;FILIPPI, MARCO
2015
Abstract
This study applies an optimization-based approach for calibrating building energy models using monitored data. The calibration was carried out on a test building coupling the EnergyPlus energy simulation tool with the GenOpt optimization tool. The objective function was set to minimize the difference between simulated and monitored energy consumption. For evaluating the model accuracy, the Mean Bias Error (MBE) and the Coefficient of Variation of the \RMSE\ (Cv (RMSE)) were calculated and found consistent with \ASHRAE\ guideline 14 limits for a model to be considered calibrated.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/2641151
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